Azure Data Engineer

📋 Description

• Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud data
• Parse, normalize, transform, enrich, and validate structured/unstructured security telemetry
• Onboard new log sources with owners, infra/cloud teams, vendors, and security stakeholders
• Ensure data integrity, completeness, timeliness, and quality for monitoring, detection, incident
• Align security data with schemas, governance standards, and organizational requirements
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues

🎯 Requirements

• 3+ years in cybersecurity, data engineering, log management, security operations, or related field
• Hands-on onboarding, managing, and validating log sources within SIEM/cloud analytics
• Strong experience with data parsing, normalization, transformation, and validation (regex, JSON
• Familiarity with security telemetry across
• Experience with Azure logging/monitoring/analytics services
• Strong troubleshooting and analytical skills for ingestion, schema, and data quality

🎁 Benefits

• Remote work opportunity from anywhere
• Experience in cybersecurity data engineering within a regulated financial services environment
• Exposure to large-scale security telemetry, SIEM, Azure data services, cloud environments, and
• Hands-on opportunities to develop scalable pipelines, automation, and data-quality solutions
• Cross-functional collaboration with cybersecurity, cloud, governance, and vendor teams
• Opportunity to contribute to threat detection, incident response, and cyber risk visibility